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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 9019
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    information about sports players and their positions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vectorielles
    -0.44
     kapturem
    -0.41
     tomba
    -0.36
     deportivos
    -0.35
     icône
    -0.32
    featureID
    -0.32
     fören
    -0.31
     bolsas
    -0.30
     vectorielle
    -0.30
    PrototypeOf
    -0.30
    POSITIVE LOGITS
     resourceCulture
    0.71
    setPosition
    0.71
     position
    0.71
     Positions
    0.66
     wing
    0.66
     Position
    0.65
     positions
    0.63
     shift
    0.58
     Wing
    0.57
     swit
    0.56
    Activations Density 0.126%

    No Known Activations